Senior Data Engineer - Cloud, ELT & Modern Data Stack

CareCone Group; Sydney; On-site; AUD 110,000 - 170,000; Full time

Job summary

CareCone Group in Sydney seeks a hands-on Data Engineer to design and implement robust data pipelines. The role involves mastering SQL and Python to build reliable ETL/ELT processes, structuring data with dimensional modelling, and leveraging data lakes and warehousing architectures on cloud platforms (AWS/GCP/Azure).

Ideal candidates bring experience with modern data stack components (dbt, Airflow, Snowflake/Databricks) and a problem-solving mindset to tackle complex data challenges.

Qualifications

• Advanced SQL and Python knowledge.
• Experience with ETL/ELT platforms and dimensional modelling.
• Experience with one or more cloud providers (AWS, GCP, Azure).
• Ideal but not required: modern data stack (dbt, Snowflake/Databricks, Airflow, Fivetran/Airbyte).
• Ideal but not required: software engineering, MLOps, DevOps (CICD, Source Control, Java, Terraform).

Skills

SQL

Python

Dimensional modelling

Cloud platforms

Tools

Data Lakes

Data Warehousing

Star Schema

Job description

CareCone Group in Sydney seeks a hands-on Data Engineer to design and implement robust data pipelines. The role involves mastering SQL and Python to build reliable ETL/ELT processes, structuring data with dimensional modelling, and leveraging data lakes and warehousing architectures on cloud platforms (AWS/GCP/Azure).

Ideal candidates bring experience with modern data stack components (dbt, Airflow, Snowflake/Databricks) and a problem-solving mindset to tackle complex data challenges.